Functional Reinforcement Analysis

Functional Reinforcement Analysis is a systematic assessment methodology within the field of behavioral science that identifies the environmental variables and consequences maintaining specific behaviors by empirically linking antecedent-behavior-consequence sequences to determine the reinforcing functions driving behavioral patterns.

37

Publications

2.3K

Citations

112

Authors

48

Institutions

Publications per year

2017–2026

3

Authors

112

  1. CC
    Cathleen C. Piazza

    Kennedy Krieger Institute, United States

    6 publications · 625 citations

    6

    h-index

  2. BA
    Brian A. Iwata

    University of Florida, United States

    6 publications · 279 citations

    6

    h-index

  3. WW
    Wayne W. Fisher

    Kennedy Krieger Institute, United States

    4 publications · 511 citations

    4

    h-index

  4. AS
    April S. Worsdell

    University of Florida, United States

    4 publications · 341 citations

    4

    h-index

  5. DP
    David P. Wacker

    University of Iowa, United States

    3 publications · 257 citations

    3

    h-index

1–5 of 112

Venues

  1. Journal of Applied Behavior Analysis

    JABA · 29 publications · 1.9K citations

    24

    h-index

  2. American Journal of Orthopsychiatry

    1 publications · 51 citations

    1

    h-index

  3. Behavioral Disorders

    1 publications · 50 citations

    1

    h-index

  4. Journal of the Structural Division

    1 publications · 53 citations

    1

    h-index

  5. Exceptionality

    1 publications · 45 citations

    1

    h-index

1–5